{"title":"基于嵌入式系统的数控铣床声音检测","authors":"S. Kuo, Ully Raihany, Cheng-Yu Peng","doi":"10.1109/IS3C50286.2020.00041","DOIUrl":null,"url":null,"abstract":"This paper presents a sound detection method for analyzing the central frequency and amplitude of the CNC machine resonant signals generated by the CNC milling process. In this study using Fast Fourier Transform (FFT) in spectral measurement and using a microphone reveals as a sound detector during milling process in the LabView embedded system with the results of displaying frequency and amplitude graphs to see the mass production quality of the CNC milling conditions. It is real time embedded system to analyze the condition of operated CNC milling machines.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Sound Detection of CNC Milling Machine by Embedded System\",\"authors\":\"S. Kuo, Ully Raihany, Cheng-Yu Peng\",\"doi\":\"10.1109/IS3C50286.2020.00041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a sound detection method for analyzing the central frequency and amplitude of the CNC machine resonant signals generated by the CNC milling process. In this study using Fast Fourier Transform (FFT) in spectral measurement and using a microphone reveals as a sound detector during milling process in the LabView embedded system with the results of displaying frequency and amplitude graphs to see the mass production quality of the CNC milling conditions. It is real time embedded system to analyze the condition of operated CNC milling machines.\",\"PeriodicalId\":143430,\"journal\":{\"name\":\"2020 International Symposium on Computer, Consumer and Control (IS3C)\",\"volume\":\"112 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Symposium on Computer, Consumer and Control (IS3C)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IS3C50286.2020.00041\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Symposium on Computer, Consumer and Control (IS3C)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IS3C50286.2020.00041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sound Detection of CNC Milling Machine by Embedded System
This paper presents a sound detection method for analyzing the central frequency and amplitude of the CNC machine resonant signals generated by the CNC milling process. In this study using Fast Fourier Transform (FFT) in spectral measurement and using a microphone reveals as a sound detector during milling process in the LabView embedded system with the results of displaying frequency and amplitude graphs to see the mass production quality of the CNC milling conditions. It is real time embedded system to analyze the condition of operated CNC milling machines.
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